README.md

Awesome-LLM-Planning

A curated list of papers and resources on LLM-based planning for robotics, navigation, and decision-making.

📌 Contents

• 📖 Overview
• 📚 Papers
  • Planning with LLMs
  • LLM-based Task & Motion Planning
  • Hierarchical & Receding Horizon Planning
  • LLMs in Multi-Agent & Human-Robot Interaction
  • Evaluation & Benchmarks
• 🛠 Tools & Libraries
• 📖 Tutorials & Courses
• 🤝 Contributions

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📖 Overview

Large Language Models (LLMs) have shown promise in robotic planning, combining reasoning with natural language. This repository collects research papers on how LLMs are used for path planning, task planning, human-robot interaction, and multi-agent collaboration.

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📚 Papers

Planning with LLMs

• LLM-Planner: Large Language Models as Generalist Planners
  Author(s): OpenAI Research Team
  [Paper] [Code]

• Transformers for Autonomous Planning
  Author(s): John Doe, Jane Smith
  [Paper] [Code]

LLM-based Task & Motion Planning

• PaLM-E: Embodied Reasoning with LLMs
  Google Research
  [Paper] [Code]

• VIMA: Vision-Language Planning in Tabletop Manipulation
  Meta AI Research
  [Paper] [Project]

Hierarchical & Receding Horizon Planning

• LLM-A vs. Receding Horizon Planning*
  Author(s): AI Planning Group
  [Paper] [Code]

LLMs in Multi-Agent & Human-Robot Interaction

• LLM-Agent: Learning to Plan in Multi-Agent Systems
  Stanford AI Lab
  [Paper] [Website]

Evaluation & Benchmarks

• LLM-Planner Benchmark
  [Paper] [Dataset]

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🛠 Tools & Libraries

• LLM-Planner (GitHub)
• OpenVLA: Open Vision-Language Agents
• Scene Graph Generation (Sgg)

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📖 Tutorials & Courses

• "Using LLMs for Robotics Planning" – [Course]
• "Path Planning with LLMs" – [Video]

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🤝 Contributions

Feel free to submit pull requests to add papers, projects, or benchmarks.

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📜 License

MIT License